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Michael Chan

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Chicago, IL
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
85 matches · 58W–27L · seasons 2022–2026
Match history85 matches
W
2026-10-18 · CHI E 18M3.5 1.Tam Bhat Sun 11 $25 · #1 Singles · 3.5
loading the estimate
6-4, 6-4
L
2026-10-10 · CHI E 18M3.5 1.Tam Bhat Sun 11 $25 · #1 Doubles · 3.5 · with Kedar Bhat
loading the estimate
3-6, 6-7
W
2026-09-27 · CHI E 18M3.5 1.Tam Bhat Sun 11 $25 · #1 Doubles · 3.5 · with John Kim
loading the estimate
6-4, 1-6, 1-0
L
2026-08-08 · #1 Singles · 3.5 championship
loading the estimate
1-6, 1-6
L
2026-08-08 · #1 Doubles · 3.5 · with Carlos Canga-Arguelles championship
loading the estimate
4-6, 4-6
W
Default
2026-07-23 · CDTA S 18&OM4.0 8.Tam Bhat Sat 3 $22 · #3 Doubles · 4.0 · with Keith Boutell
doesn’t count toward your NTRP rating
6-0, 6-0
W
Default
2026-07-18 · CDTA S 18&OM3.5 8.Tam Bhat Sat 3 $22 · #3 Doubles · 3.5 · with Tarun Chawla
doesn’t count toward your NTRP rating
6-0, 6-0
L
2026-06-20 · CDTA S 18&OM4.0 8.Tam Bhat Sat 3 $22 · #1 Doubles · 4.0 · with Kedar Bhat
loading the estimate
1-6, 1-6
L
2026-06-10 · CDTA S 18&OM3.5 8.Tam Bhat Sat 3 $22 · #1 Singles · 3.5
loading the estimate
4-6, 6-4, 0-1
W
2026-04-26 · CDTA W 18&OM3.5 8.Tam Bhat Sun 11 $22 · #1 Doubles · 3.5 · with Jonathon Maas
loading the estimate
4-6, 6-3, 1-0
L
2026-03-08 · CDTA W 18&OM3.5 8.Tam Bhat Sun 11 $22 · #2 Doubles · 3.5 · with Dave Jordan
loading the estimate
7-6, 3-6, 0-1
W
2026-02-22 · CDTA W 18&OM3.5 8.Tam Bhat Sun 11 $22 · #2 Doubles · 3.5 · with John Kim
loading the estimate
6-0, 2-6, 1-0
Where you rank locallyagainst everyone at your level
Teams26 teams · 2023–2027
Over timerating by season, and how you rank
By level7 levels played
3.0
92.3%
12W–1L · 64.6% of games
3.5
63.6%
28W–16L · 54.6% of games
4.0
1W–1L
not enough matches yet
6.0mixed
2W–0L
not enough matches yet
6.5mixed
80%
8W–2L · 58.8% of games
7.0mixed
58.3%
7W–5L · 53.6% of games
7.5mixed
0W–2L
not enough matches yet

Games won matters more than matches won — NTRP adjusts on margins.

By lineusually #1 Doubles, 35% of the time
#1 Doubles
35%
30 matches
#2 Doubles
27%
23 matches
#3 Doubles
21%
18 matches
#1 Singles
12%
10 matches
#2 Singles
5%
4 matches

How often, across every team and every match we hold — including ones that do not count toward a rating. Advanced stats has a court-position table too, and it answers a different question: how well you do there, over matches that count. A team’s own page shows how that one team uses you.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.

What matters isn’t how well you play when you’re playing well. What matters is how well you play when you’re playing badly.
Martina Navratilova